Special Issue "Advances in Computational Statistics and Applications"
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 15748
Interests: biostatistics; categorical data analysis; computational statistics; missing data in medical research; statistics in diagnostic medicine
Special Issues, Collections and Topics in MDPI journals
Computational statistics is a fundamental area of statistics with important applications in many fields. Computational statistics uses algorithms and numerical methods to solve a multitude of problems, such as parameter estimation, hypothesis testing and statistical modelling. The purpose of this Special Issue is to provide a collection of high-quality manuscripts on all aspects of theoretical research and novel applications of computational statistics especially in health sciences, social sciences and engineering. Manuscripts at the interface of statistics and computing with real applications will also be appreciated.
Topics of interest include but are not limited to the followings: algorithms and computational methods, estimation methods, hypotheses testing, reliability inference, statistical modelling, and applications in health sciences and social sciences.
Dr. José Antonio Roldán-Nofuentes
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Bayesian computing
- categorical data analysis
- functional data analysis
- hypotheses testing
- longitudinal data analysis
- matrix computations
- missing data
- sampling methods
- statistical algorithms
- statistical simulation
- statistical software
- survival analysis